Software Engineer - New Grad

Scaleai · London, UKjunior

In short

▸Ingeniero de software recién graduado que construye aplicaciones de IA de alto impacto para gobiernos y empresas.
▸Trabajas en productos reales, hablas con clientes y entregas funciones críticas desde el primer día.
▸Destaca por tener autonomía inmediata en proyectos que afectan a millones de personas y sistemas a escala global.

Fluency in English is required for collaboration and customer interaction.

In ~1 minute you get: who interviews you, the likely questions answered from your CV, and your CV tailored to this job. Free, no card.

🎧Land the interview? Bring the copilot. Our free extension listens to the live interview and flashes 3-4-word anchors from your resume and prep — glance, connect, talk. Get the extension →

What they ask for

✓Título de Bachiller en Ciencias de la Computación, Ingeniería Eléctrica, Ingeniería de Computación o Estadística (graduación entre otoño 202
✓Experiencia en ingeniería de productos: desarrollo full-stack, integración de APIs, interacción con clientes
✓Pasantes previos en ingeniería de software o producto
✓Historial de entregar productos de alta calidad a gran escala
✓Experiencia construyendo sistemas que procesan grandes volúmenes de datos
✓Conocimiento en Python, Typescript, React y/o MongoDB

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

PythonTypescriptReactMongoDBLLMsEvaluationsAgentic systemsRAGReinforcement learningData pipelines

Who should you write to at Scaleai?

Your free dossier identifies the people who'd interview you — their background, what they value, and how to reach out so you stand out before applying.

At Scale, our mission is to develop reliable AI systems for the world's most important decisions. For 10 years, Scale has provided the high-quality data and full-stack technologies that power the world's leading models, and has helped enterprises and governments build, deploy, and oversee AI applications that deliver real impact. We work closely with industry leaders like Meta, Ernst & Young, Mayo Clinic, Time Inc., the Government of Qatar, and U.S. government agencies including the Army and Air Force. Every industry is moving AI to the center of operations, but there is still no clear blueprint for getting from pilot to profit. That is the problem our engineers work on. As a New Grad Software Engineer, you will own meaningful, customer-facing work from day one — shipping products, talking directly to the customers who use them, and iterating fast. Scale’s rapidly growing Global Public Sector team is focused on using AI to address critical challenges facing the public sector around the world. Our core work consists of: • Creating custom AI applications that will impact millions of citizens • Generating high-quality training data for national LLMs • Upskilling and advisory services to spread the impact of AI Example Projects: • Build reinforcement learning and post-training data pipelines that power frontier model development • Develop evaluation infrastructure that measures model reliability for enterprise and public sector customers • Ship agentic AI applications and the tooling that makes them observable, testable, and safe to deploy • Ship tools that accelerate the growth of new qualified contributors on Scale's platform • Build fraud-detection systems that remove bad actors and keep Scale's contributor base safe and trusted • Use models to estimate the quality of tasks and contributors, and guarantee quality on requests at large scale • Devise advanced matching algorithms that pair contributors to customers for optimal turnaround and accuracy • Create optimized and efficient UI/UX tooling, in combination with ML algorithms, for 100k+ contributors completing billions of complex tasks • Develop new AI infrastructure products to visualize, query, and explore Scale data • Build a customer service RAG application that handles thousands of questions a day • Integrate a cutting-edge ML model that predicts churn into a customer's retention system Requirements: • A graduation date in Fall 2026 or Spring 2027 with a Bachelor's degree (or equivalent) in a relevant field (Computer Science, EECS, Computer Engineering, Statistics) • Product engineering experience such as building web apps full-stack, integrating with relevant APIs and services, talking to customers, figuring out 'what' to build and then iterating • Previous Product/Software Engineering internship experience • Track record of shipping high-quality products and features at scale • Experience building systems that process large volumes of data • Experience with Python, Typescript, React, and/or MongoDB Please reference the job posting's subtitle for where this position will be located. Nice to have: • Hands-on experience with LLMs, evaluations, or agentic systems — whether from internships, research, or personal projects • Open source contributions or a portfolio of shipped side projects How we work: Our credos shape how we make decisions and work as a team: • Earn Customer Love — trust is earned with every interaction, every delivery, and every problem we solve • Team Flow — ideas, energy, and support move freely across teams; optimize for the whole • Quality is Our Cheat Co

Don't apply unprepared

We research who's interviewing you, tailor your CV and rehearse you live — first one free.